Heavy Rain Retrograde

In 2030, the riverside city Jiangzhou suffered from extreme waterlogging caused by heavy rains, flood discharges and astronomical tides. The city brain "Lingze" relies on sensors to coordinate emergencies throughout the city, but the four square kilometers in the core of the old city are a data blind spot, and it can only rely on historical models to deduce disaster situations. Delivery rider Qin Dahai has been traveling all over the streets of the old city for ten years. With a notepad and a pair of rheumatic legs that can predict the weather, he has memorized all the hidden dangers of flooding in the old city. He often questioned system navigation, was repeatedly fined, and was seen as stubborn and conservative by others. Daughter Qin Yu is a top student in the third year of high school. She is determined to learn smart cities and firmly believes in the absolute accuracy of algorithms. There is a deep gap between father and daughter. Floods struck, grassroots concealment and data were missing, and Lingze mistakenly marked two dangerous places as safe havens. The old city was quickly flooded, navigation misled people, and the city's brain failed in its blind spots. Qin Dahai went retrograde to save people, and joined forces with old embankment workers, sanitation workers, and riders to build a private intelligence network. Qin Yu broke through the blind obedience to AI, compiled civilian field experience and sent it to the emergency command center. The flood peak passes through and the levee is rescued. After the disaster, this set of experiences from ordinary people was incorporated into the emergency response system. Lingze completed the iteration and left a line of prompts in the blank space of the data: scene data is missing, manual judgment is recommended, you decide.